van Dis, E. A. M., Bollen, J., Zuidema, W., van Rooij, R., & Bockting, C. L. (2023). ChatGPT: Five priorities for research. Nature, 614(7947), 224–226. https://doi.org/10.1038/d41586-023-00288-7
Kim, S., Razi, A., Stringhini, G., Wisniewski, P. J., & De Choudhury, M. (2021). A Human-Centered Systematic Literature Review of Cyberbullying Detection Algorithms. ACM 人机交互论文集, 5(CSCW2), 325:1-325:34. https://doi.org/10.1145/3476066
Bianchi, F., Terragni, S., & Hovy, D. (2021). Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), 759–766. https://doi.org/10.18653/v1/2021.acl-short.96
一个简单的 GitHub 主页
借助notion提供的api将豆瓣电影中观影记录同步至notion数据库中
搬运至：https://github.com/google-research/tuning_playbook
Samih, Y., & Darwish, K. (2021). A Few Topical Tweets are Enough for Effective User Stance Detection. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2637–2646. https://doi.org/10.18653/v1/2021.eacl-main.227
ALDayel, A., & Magdy, W. (2021). Stance detection on social media: State of the art and trends. Information Processing & Management, 58(4), 102597. https://doi.org/10.1016/j.ipm.2021.102597
